Are you passionate about innovation that transforms everyday products into extraordinary experiences? IFF is a global leader in flavors, fragrances, food ingredients and health & biosciences, delivering sustainable innovations that elevate everyday products.

Company: IFF

Role: AI Engineer, Industrial

Location: Remote (Wilmington, DE, USA; New York, NY, USA)

Experience:

Demonstrated industrial experience with a proven track record of delivering measurable business impact and driving outcomes in production or operational environments
Experience developing end-to-end AI or machine learning applications, not only exploratory notebooks, with an ability to move from prototype to reliable solution including demonstrated experience deploying solutions in real industrial or production environments

Key Skills:

Python
modern machine learning workflows
data preparation
modeling
validation
deployment
monitoring
frontier AI models
large language models
foundation models
multimodal approaches
knowledge graphs
ontologies
structured domain knowledge
mathematical optimization
process control
forecasting
anomaly detection
recommendation systems
natural language interfaces
classification
deep learning
predictive analytics

Qualification:

Master’s, or PhD degree in Chemical Engineering, Biochemical Engineering, Bioinformatics, Process Control, Computer Science, Data Science or Applied Mathematics

Role Focus:

Develop practical AI, machine learning and optimization solutions that help technical and operational teams make complex industrial data easier to understand, explore, and act on
Apply frontier AI models, including large language models, foundation models, and multimodal approaches, to create reliable tools for search, analysis, knowledge discovery, and decision support
Build AI-enabled applications that combine models, data pipelines, prompts, agents, evaluations, optimization logic, and user feedback into solutions that are useful, explainable, and maintainable
Design and use knowledge graphs, ontologies, and structured domain knowledge to connect process data, experimental data, documents, terminology, assets, materials, and business context
Work with domain experts to translate scientific, engineering, process control, and operational questions into data products, model workflows, optimization approaches, and user-friendly analytics experiences
Develop robust pipelines for structured and unstructured data, including time-series data, laboratory data, manufacturing data, documents, and scientific or technical knowledge sources
Contribute to model validation, monitoring, documentation, governance, and continuous improvement so that deployed solutions can be trusted in real industrial environments
Collaborate across data science, engineering, digital technology, operations, and business teams to deliver solutions that create measurable value and are designed for adoption

Nice to have:

Experience with knowledge graphs, ontologies, semantic modeling, graph databases, or retrieval-augmented generation for scientific, industrial, or operational use cases
Experience in manufacturing, process development, industrial operations, supply chain, biomanufacturing, bioinformatics, chemical processes, advanced process control, or mathematical optimization in technical environments
Experience with model registries, experiment tracking, observability, prompt and version management, evaluation frameworks, cloud platforms, or production machine learning systems

Other:

Remote-based working model with meaningful collaboration across global teams and regular travel for high-impact engagement
Opportunity to apply advanced AI, optimization, and machine learning to real industrial and scientific challenges
A role where software engineering, data science, domain knowledge, process control, and practical problem solving come together
Exposure to diverse technical communities across Health & Biosciences, operations, digital technology, engineering, and business teams
Learning and development opportunities in a global company with a strong innovation culture
A collaborative environment where useful, explainable, and trusted solutions matter
Compensation ($100,000 - $120,000) is based on a variety of factors including but not limited to work experience, skills, certifications, and location
Our benefits package includes medical, dental, vision, 401k, vacation, holidays, paid parental leave (maternity and paternity), and an annual bonus plan

AI Engineer, Industrial

Skills Required

Description